PENCARIAN INFORMASI BERITA DETIKNEWS MENGGUNAKAN OKAPI BM25

RACHMAN, EUIS ANNISA and Abdiansah, Abdiansah (2024) PENCARIAN INFORMASI BERITA DETIKNEWS MENGGUNAKAN OKAPI BM25. Undergraduate thesis, Sriwijaya University.

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Abstract

In the process of searching for information, internet users generally rely on search engines. The internet plays a significant role in society, particularly in the dissemination of news through online media. News serves as a source of information about events or opinions that are important and interesting enough to be published online. Information retrieval is the science of studying methods to retrieve stored information from various sources. This study implements scraping to collect news data from the DetikNews website and uses the Okapi BM25 method for news information retrieval. Okapi BM25 is a probabilistic model that effectively ranks terms within documents for relevant searches. Based on the research conducted, the Okapi BM25 algorithm has a relevance percentage of 48.88%, which is higher compared to the DetikNews search engine with a relevance percentage of 23.33%. Keywords: Scraping, Information Retrieval, Search Engine, Okapi BM25

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Scraping, Information Retrieval, Pencarian, Okapi BM25
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Euis Annisa Rachman
Date Deposited:	26 Jun 2024 06:00
Last Modified:	26 Jun 2024 06:00
URI:	http://repository.unsri.ac.id/id/eprint/148109

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